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Apache Beam VS Tigon

Compare Apache Beam VS Tigon and see what are their differences

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Apache Beam logo Apache Beam

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Tigon logo Tigon

Tigon is an open source real-time stream processing framework built on top of Apache Hadoop and Apache HBase.
  • Apache Beam Landing page
    Landing page //
    2022-03-31
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Apache Beam videos

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How to Write Batch or Streaming Data Pipelines with Apache Beam in 15 mins with James Malone

More videos:

  • Review - Best practices towards a production-ready pipeline with Apache Beam
  • Review - Streaming data into Apache Beam with Kafka

Tigon videos

+ Add

GTA 5 - DLC Vehicle Customization - Lampadati Tigon (De Tomaso P72) and Review

More videos:

  • Review - Aspire Tigon Kit Review / What’s a Tigon?
  • Review - Aspire Tigon Starter Kit Review - Mike Vapes

Category Popularity

0-100% (relative to Apache Beam and Tigon)

Apache Beam

Tigon

Big Data
83 83%
Big Data
17% 17
Stream Processing
0 0%
Stream Processing
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Data Warehousing
100 100%
Data Warehousing
0% 0

User comments

Share your experience with using Apache Beam and Tigon. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Beam seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Apache Beam mentions (14)

  • Ask HN: Does (or why does) anyone use MapReduce anymore?
    The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/9781491983867/. It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.). As for the framework called MapReduce, it isn't used much, but its descendant... - Source: Hacker News / 3 months ago
  • How do Streaming Aggregation Pipelines work?
    Apache Beam is one of many tools that you can use. Source: 5 months ago
  • Real Time Data Infra Stack
    Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    Apache Beam: Batch/streaming data processing 🔗Link. - Source: dev.to / over 1 year ago
  • Composer out of resources - "INFO Task exited with return code Negsignal.SIGKILL"
    What you are looking for is Dataflow. It can be a bit tricky to wrap your head around at first, but I highly suggest leaning into this technology for most of your data engineering needs. It's based on the open source Apache Beam framework that originated at Google. We use an internal version of this system at Google for virtually all of our pipeline tasks, from a few GB, to Exabyte scale systems -- it can do it all. Source: over 1 year ago
View more

Tigon mentions (0)

We have not tracked any mentions of Tigon yet. Tracking of Tigon recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Beam and Tigon, you can also consider the following products

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Lightbend Akka Platform - Lightbend Fast Data Platform is the easy on-ramp to successful streaming Fast Data applications.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Goka - Goka is a distributed stream processing library for Apache Kafka written in Go.

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